Genetic Phenomena Commons^™

Influence Of Tp53 Gene Mutations And Their Allelic Status In Myelodysplastic Syndromes With Isolated 5q Deletion, Maria Julia Montoro, Laura Palomo, Claudia Haferlach, Pamela Acha, Onyee Chan, Víctor Navarro, Yasuo Kubota, Felicitas Isabel Schulz, Manja Meggendorfer, Robert Briski, Najla Al Ali, Blanca Xicoy, Félix López-Cadenas, Francesc Bosch, Teresa González, Lea Naomi Eder, Andrés Jerez, Yu-Hung Wang, Alessia Campagna, Valeria Santini, Teresa Bernal Del Castillo, Esperanza Such, Hwei-Fang Tien, Nicolás Diaz Varela, Uwe Platzbecker, Detlef Haase, María Díez-Campelo, Matteo Della Porta, Guillermo Garcia-Manero, Daniel H Wiseman, Ulrich Germing, Jaroslaw P Maciejewski, Rami S Komrokji, Francesc Sole, Torsten Haferlach, David Valcárcel

Faculty, Staff and Student Publications

Mutations in the TP53 gene, particularly multihit alterations, have been associated with unfavorable clinical features and prognosis in patients diagnosed with myelodysplastic syndrome (MDS). Despite this, the role of TP53 gene aberrations in MDS with isolated deletion of chromosome 5 [MDS-del(5q)] remains unclear. This study aimed to assess the impact of TP53 gene mutations and their allelic state in patients with MDS-del(5q). To that end, a comprehensive analysis of TP53 abnormalities, examining both TP53 mutations and allelic imbalances, in 682 patients diagnosed with MDS-del(5q) was conducted. Twenty-four percent of TP53-mutated patients exhibited multihit alterations, whereas the remaining patients displayed monoallelic …

Yap1 Status Defines Two Intrinsic Subtypes Of Lcnec With Distinct Molecular Features And Therapeutic Vulnerabilities, C Allison Stewart, Lixia Diao, Yuanxin Xi, Runsheng Wang, Kavya Ramkumar, Alejandra G Serrano, Azusa Tanimoto, B Leticia Rodriguez, Benjamin B Morris, Li Shen, Bingnan Zhang, Yan Yang, Samera H Hamad, Robert J Cardnell, Alberto Duarte, Moushumi Sahu, Veronica Y Novegil, Bernard E Weissman, Michael Frumovitz, Neda Kalhor, Luisa Solis Soto, Pedro Da Rocha, Natalie Vokes, Don L Gibbons, Jing Wang, John V Heymach, Bonnie Glisson, Lauren Averett Byers, Carl M Gay

Faculty, Staff and Student Publications

Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

Results: In this study, we demonstrate that the presence …

Npm1-Mutated Myeloid Neoplasms Are A Unique Entity Not Defined By Bone Marrow Blast Percentage, Georgina Gener-Ricos, Alex Bataller, Juan Jose Rodriguez-Sevilla, Kelly S Chien, Andres E Quesada, Emmanuel Almanza-Huante, Danielle Hammond, Koji Sasaki, Courtney Dinardo, Tapan Kadia, Naval Daver, Gautam Borthakur, Ghayas C Issa, Nicholas J Short, Rashmi Kanagal-Shamanna, Hagop M Kantarjian, Guillermo Garcia-Manero, Guillermo Montalban-Bravo

Faculty, Staff and Student Publications

Introduction: NPM1-mutated (NPM1mut) myeloid neoplasms (MNs) with < 20% bone marrow (BM) blasts (NPM1mut MNs< 20) are uncommon, and their classification remains inconsistent.

Methods: The clinicopathologic features of 54 patients with NPM1mut MNs < 20 were evaluated and compared with wild-type NPM1 MNs < 20 and NPM1mut MNs≥20, respectively.

Results: NPM1mut MNs had similar features regardless of blast percentage, except for higher IDH2 (29% vs 7%, p = .023) and FLT3 (70% vs 11%, p < .001) frequency in patients with ≥20% BM blasts. Thirty-three (61%) patients with NPM1mut MNs < 20 received low-intensity chemotherapy (LIC) and 12 (22%) received intensive chemotherapy (IC). Higher complete remission rates (75% vs 27%, p = .006) and median overall survival (mOS) (not reached vs 30.4 months, p = .06) were observed with IC compared to LIC. Young patients (age < 60 years) did not reach mOS either when treated with LIC or IC. Stem cell transplant was associated with increased survival only in patients treated with LIC (HR, 0.24; p = .025). No differences in mOS were observed by BM blast strata (32.2 months, not reached and 46.9 months for < 10%, 10%-19%, and ≥20% blasts, p = .700) regardless of treatment modality (LIC: p = .900; IC: p = .360). Twenty-three patients (43%) with NPM1mut MNs < 20 had marrow blast progression to ≥20%.

Conclusions: Overall, NPM1mut MNs define a unique entity independent of BM blast percentage.

Development And Validation Of A Machine Learning Model To Predict Myocardial Blood Flow And Clinical Outcomes From Patients’ Electrocardiogram, Fares Alahdab, Maliazurina Binti Saad, Ahmed Ibrahim Ahmed, Qasem Al Tashi, Muhammad Aminu, Yushui Han, Jonathan B Moody, Venkatesh L Murthy, Jia Wu, Mouaz H Al-Mallah

Faculty, Staff and Student Publications

We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET) and 17,649 ECG-single-photon emission computed tomography (SPECT) data pairs, the ML model is trained with a swarm intelligence approach and support vector regression (SVR). The model achieves a receiver-operator curve (ROC) area under the curve (AUC) of 0.83, with a sensitivity and specificity of 0.75. An ECG-MFR value below 2 is significantly associated with MACE, with hazard ratios (HRs) of 3.85 and 3.70 in the discovery …

The Impact Of A Web-Based Prognostic Calculator On Prognostic Confidence In Outpatient Palliative Care, David Hui, John P Maxwell, Allison De La Rosa, Kristofer Jennings, Marieberta Vidal, Akhila Reddy, Ahsan Azhar, Rony Dev, Kimberson Tanco, Yvonne Heung, Marvin Delgado-Guay, Donna Zhukovsky, Joseph Arthur, Suresh Reddy, Sriram Yennu, Amy Ontai, Eduardo Bruera

Faculty, Staff and Student Publications

Purpose: Clinicians are often uncertain about their prognostic estimates, which may impede prognostic communication and clinical decision-making. We assessed the impact of a web-based prognostic calculator on physicians' prognostic confidence.

Methods: In this prospective study, palliative care physicians estimated the prognosis of patients with advanced cancer in an outpatient clinic using the temporal, surprise, and probabilistic approaches for 6 m, 3 m, 2 m, 1 m, 2 w, 1 w, and 3 d. They then reviewed information from www.predictsurvival.com , which calculated survival estimates from seven validated prognostic scores, including the Palliative Prognostic Score, Palliative Prognostic Index, and Palliative Performance …

The Cochlear Dose And The Age At Radiotherapy Predict Severe Hearing Loss After Passive Scattering Proton Therapy And Cisplatin In Children With Medulloblastoma, Mohammad H Abu-Arja, Austin L Brown, Jack M Su, M Fatih Okcu, Holly B Lindsay, Susan L Mcgovern, Mary Frances Mcaleer, David R Grosshans, Murali M Chintagumpala, Arnold C Paulino

Faculty, Staff and Student Publications

Background: Hearing loss (HL) is associated with worse neurocognitive outcomes among patients with medulloblastoma. We aimed to identify risk factors associated with severe HL and to evaluate the generalizability of a published HL calculator among patients treated with passive scattering proton therapy (PSPT) and cisplatin.

Methods: We identified patients aged 3-21 years who were treated at our centers between 2007 and 2022. Audiograms were graded using the International Society of Pediatric Oncology (SIOP) Boston scale. Time to grades 3-4 HL was evaluated using Kaplan-Meier and multivariable Cox models to estimate hazard ratios and 95% confidence intervals (CI).

Results: Seventy-nine patients …

Asxl1/Tet2 Genotype-Based Risk Stratification Outperforms Asxl1 Mutational Impact And Is Independent Of Mutant Variant Allele Fractions In Chronic Myelomonocytic Leukemia, Clifford M Csizmar, Mark Gurney, Rashmi Kanagal-Shamanna, Kelly Chien, Danielle Hammond, Terra L Lasho, Christy M Finke, Christopher Dean, Anuya Natu, Abhishek A Mangaonkar, Aref Al-Kali, Naseema Gangat, Ayalew Tefferi, Hassan Alkhateeb, Guillermo Garcia-Manero, Rami S Komrokji, Najla A Ali, Eric Padron, Guillermo Montalban-Bravo, Mrinal M Patnaik

Faculty, Staff and Student Publications

No abstract provided.

Prognostic Scores For Ursodeoxycholic Acid-Treated Patients Predict Graft Loss And Mortality In Recurrent Primary Biliary Cholangitis After Liver Transplantation, Aldo J Montano-Loza, Ellina Lytvyak, Gideon Hirschfield, Bettina E Hansen, Maryam Ebadi, Thierry Berney, Christian Toso, Giulia Magini, Alejandra Villamil, Frederik Nevens, Natalie Van Den Ende, Albert Pares, Pablo Ruiz, Débora Terrabuio, Palak J Trivedi, Nadir Abbas, Maria Francesca Donato, Lei Yu, Charles Landis, Jérôme Dumortier, Jessica Katharine Dyson, Adriaan J Van Der Meer, Rozanne De Veer, Mark Pedersen, Marlyn Mayo, Michael P Manns, Richard Taubert, Theresa Kirchner, Luca S Belli, Chiara Mazzarelli, Guido Stirnimann, Annarosa Floreani, Nora Cazzagon, Francesco Paolo Russo, Patrizia Burra, Udi Zigmound, Inbal Houri, Marco Carbone, Giacomo Mulinacci, Stefano Fagiuoli, Daniel Stephan Pratt, Alan Bonder, Thomas D Schiano, Brandy Haydel, Ansgar Lohse, Christoph Schramm, Darius Rüther, Stefania Casu, Xavier Verhelst, Benedetta Terziroli Beretta-Piccoli, Mercedes Robles, Andrew L Mason, Christophe Corpechot, Global Pbc Study Group

Faculty, Staff and Student Publications

Background & aims: Recurrent primary biliary cholangitis (rPBC) develops in approximately 30% of patients and negatively impacts graft and overall patient survival after liver transplantation (LT). There is a lack of data regarding the response rate to ursodeoxycholic acid (UDCA) in rPBC. We evaluated a large, international, multi-center cohort to assess the performance of PBC scores in predicting the risk of graft and overall survival after LT in patients with rPBC.

Methods: A total of 332 patients with rPBC after LT were evaluated from 28 centers across Europe, North and South America. The median age at the time of rPBC …

Glycemic Control In Diabetic Patients Improved Overall Lung Cancer Survival Across Diverse Populations, Wayne Y Wu, Brian Luke, Xiao-Cheng Wu, J Jack Lee, Yong Yi, Samuel C Okpechi, Barry Gause, Paras Mehta, Steven I Sherman, Augusto Ochoa, Ethan Dmitrovsky, Xi Liu

Faculty, Staff and Student Publications

Background: The consequence of diabetes on lung cancer overall survival (OS) is debated. This retrospective study used 2 large lung cancer databases to assess comprehensively diabetes effects on lung cancer OS in diverse demographic populations, including health disparity.

Methods: The University of Texas MD Anderson Cancer Center database (32 643 lung cancer patients with 11 973 patients with diabetes) was extracted from electronic health records (EHRs) using natural language processing (NLP). Associations were between diabetes and lung cancer prognostic features (age, sex, race, body mass index [BMI], insurance status, smoking, stage, and histopathology). Hemoglobin A1C (HgbA1c) and glucose levels assessed …

Increasing Power In Phase Iii Oncology Trials With Multivariable Regression: An Empirical Assessment Of 535 Primary End Point Analyses, Alexander D Sherry, Adina H Passy, Zachary R Mccaw, Joseph Abi Jaoude, Timothy A Lin, Ramez Kouzy, Avital M Miller, Gabrielle S Kupferman, Esther J Beck, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Purpose: A previous study demonstrated that power against the (unobserved) true effect for the primary end point (PEP) of most phase III oncology trials is low, suggesting an increased risk of false-negative findings in the field of late-phase oncology. Fitting models with prognostic covariates is a potential solution to improve power; however, the extent to which trials leverage this approach, and its impact on trial interpretation at scale, is unknown. To that end, we hypothesized that phase III trials using multivariable PEP analyses are more likely to demonstrate superiority versus trials with univariable analyses.

Methods: PEP analyses were reviewed from …

Landmark-Based Auto-Contouring Of Clinical Target Volumes For Radiotherapy Of Nasopharyngeal Cancer, Carlos Sjogreen, Tucker J Netherton, Anna Lee, Moaaz Soliman, Skylar S Gay, Callistus Nguyen, Raymond Mumme, Ivan Vazquez, Dong Joo Rhee, Carlos E Cardenas, Mary K Martel, Beth M Beadle, Laurence Edward Court

Faculty, Staff and Student Publications

Background: The delineation of clinical target volumes (CTVs) for radiotherapy for nasopharyngeal cancer is complex and varies based on the location and extent of disease.

Purpose: The current study aimed to develop an auto-contouring solution following one protocol guidelines (NRG-HN001) that can be adjusted to meet other guidelines, such as RTOG-0225 and the 2018 International guidelines.

Methods: The study used 2-channel 3-dimensional U-Net and nnU-Net framework to auto-contour 27 normal structures in the head and neck (H&N) region that are used to define CTVs in the protocol. To define the CTV-Expansion (CTV1 and CTV2) and CTV-Overall (the outer envelope of …

Impact Of Pretreatment Body Mass Index On The Survival Of Head And Neck Cancer Patients, Zheng Yang, Jobran Mansour, Peng Sun, Peng Wei, Kristina R Dahlstrom, Mark Zafereo, Guojun Li, Neil D Gross

Faculty, Staff and Student Publications

Background: Differences in pretreatment body mass index (BMI) have been associated with survival in squamous cell carcinoma of head and neck (SCCHN). We examined effects of BMI on survival in SCCHN patients after stratifying patients by tumor human papillomavirus (HPV) status and subsite.

Methods: Totally 2204 SCCHN patients in a prospective study were included in this secondary analysis. Multivariable Cox models were used to evaluate associations between pretreatment BMI and overall survival, disease-specific survival, and disease-free survival.

Results: BMI was significantly higher among patients with HPV-positive tumors than HPV-negative tumors. BMI >25 kg/m2 was associated with improved survival, while BMI …

Acute Myeloid Leukemia With Mast Cell Differentiation Is Characterized By Interstitial Mast Cells, Complex Karyotype, Do Hwan Kim, Sa A Wang, Wei Wang, Guilin Tang, Shaoying Li, C Cameron Yin, Pei Lin, Marina Konopleva, M James You, Roberto N Miranda, Xiaoqiong Wang, Qing Wei, L Jeffrey Medeiros, Jie Xu

Faculty, Staff and Student Publications

No abstract provided.

Clinical And Genomic Landscape Of Ras Mutations In Gynecologic Cancers, Ji Son, Yingao Zhang, Heather Lin, Oriol Mirallas, Pablo Alvarez Ballesteros, Mirella Nardo, Natalie Clark, R Tyler Hillman, Erick Campbell, Vijaykumar Holla, Amber M Johnson, Amadeo B Biter, Ying Yuan, Lauren P Cobb, David M Gershenson, Amir A Jazaeri, Karen H Lu, Pamela T Soliman, Shannon N Westin, Elizabeth D Euscher, Barrett C Lawson, Richard K Yang, Funda Meric-Bernstam, David S Hong

Faculty, Staff and Student Publications

Purpose: We aimed to describe RAS mutations in gynecologic cancers as they relate to clinicopathologic and genomic features, survival, and therapeutic implications.

Experimental design: Gynecologic cancers with available somatic molecular profiling data at our institution between February 2010 and August 2022 were included and grouped by RAS mutation status. Overall survival was estimated by the Kaplan-Meier method, and multivariable analysis was performed using the Cox proportional hazard model.

Results: Of 3,328 gynecologic cancers, 523 (15.7%) showed any RAS mutation. Patients with RAS-mutated tumors were younger (57 vs. 60 years nonmutated), had a higher prevalence of endometriosis (27.3% vs. 16.9%), and …

Patient-Reported Quality Of Life At Diagnosis In Adolescent And Young Adults With Cancer, Goldy C George, Clark Andersen, Xiaohui Tang, Elizabeth Rodriguez, Midhat Jafry, Maria C Swartz, Sairah Ahmed, Carlos H Barcenas, J Andrew Livingston, Michael E Roth, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

Background: The overall landscape of health-related quality of life (HRQoL) has not been thoroughly investigated in adolescents and young adults (AYAs) with cancer. Data are also lacking on how well HRQoL at the time of cancer diagnosis can prognosticate long-term survival in AYA survivors.

Patients and methods: We included 3,497 survivors of AYA cancer (age 15-39 years at diagnosis) who completed the Short-Form 12 Health Survey (SF-12) HRQoL questionnaire at diagnosis. Physical component summary (PCS) and mental component summary (MCS) scores were generated, with scores < 50 representing poor HRQoL. Differences in HRQoL by patient characteristics and tumor type were investigated using violin plots and t tests/analysis of variance. The effect of HRQoL on overall survival was assessed using Kaplan-Meier plots and Cox proportional hazards models.

Results: Overall mean PCS and MCS scores in this racially/ethnically diverse cohort (64% White, 19% …

The Cns Relapse In T-Cell Lymphoma Index Predicts Cns Relapse In Patients With T- And Nk-Cell Lymphomas, Rahul S Bhansali, Fredrik Ellin, Thomas Relander, Miao Cao, Wenrui Li, Qi Long, Nivetha Ganesan, Robert Stuver, Steven M Horwitz, Kitsada Wudhikarn, Steven R Hwang, N Nora Bennani, Julio Chavez, Lubomir Sokol, Hayder Saeed, Frank Duan, Pierluigi Porcu, Priyanka Pullarkat, Neha Mehta-Shah, Jasmine M Zain, Miguel Ruiz, Jonathan E Brammer, Rishab Prakash, Swaminathan P Iyer, Adam J Olszewski, Ajay Major, Peter A Riedell, Sonali M Smith, Caroline Goldin, Bradley Haverkos, Bei Hu, Tony Z Zhuang, Pamela B Allen, Wael Toama, Murali Janakiram, Taylor R Brooks, Deepa Jagadeesh, Nisha Hariharan, Aaron M Goodman, Gabrielle Hartman, Paola Ghione, Fatima Fayyaz, Joanna M Rhodes, Elise A Chong, James N Gerson, Daniel J Landsburg, Sunita D Nasta, Stephen J Schuster, Jakub Svoboda, Mats Jerkeman, Stefan K Barta

Faculty, Staff and Student Publications

Little is known about risk factors for central nervous system (CNS) relapse in mature T-cell and natural killer cell neoplasms (MTNKNs). We aimed to describe the clinical epidemiology of CNS relapse in patients with MTNKN and developed the CNS relapse In T-cell lymphoma Index (CITI) to predict patients at the highest risk of CNS relapse. We reviewed data from 135 patients with MTNKN and CNS relapse from 19 North American institutions. After exclusion of leukemic and most cutaneous forms of MTNKNs, patients were pooled with non-CNS relapse control patients from a single institution to create a CNS relapse-enriched training set. …

Loss Of The Dna Repair Gene Rnase H2 Identifies A Unique Subset Of Ddr-Deficient Leiomyosarcomas, Michael S Nakazawa, Ian M Silverman, Victoria Rimkunas, Artur Veloso, Dominik Glodzik, Adrienne Johnson, Toshiro K Ohsumi, Shreyaskumar R Patel, Anthony P Conley, Christina L Roland, Pamela T Soliman, Hannah C Beird, Chia-Chin Wu, Davis R Ingram, Rossana Lazcano, Dawon Song, Khalida M Wani, Alexander J Lazar, Timothy A Yap, Wei-Lien Wang, J Andrew Livingston

Faculty, Staff and Student Publications

Targeting the DNA damage response (DDR) pathway is an emerging therapeutic approach for leiomyosarcoma (LMS), and loss of RNase H2, a DDR pathway member, is a potentially actionable alteration for DDR-targeted treatments. Therefore, we designed a protein- and genomic-based RNase H2 screening assay to determine its prevalence and prognostic significance. Using a selective RNase H2 antibody on a pan-tumor microarray (TMA), RNase H2 loss was more common in LMS (11.5%, 9/78) than across all tumors (3.8%, 32/843). In a separate LMS cohort, RNase H2 deficiency was confirmed in uterine LMS (U-LMS, 21%, 23/108) and soft-tissue LMS (ST-LMS; 30%, 39/102). In …

Deepcg: A Cell Graph Model For Predicting Prognosis In Lung Adenocarcinoma, Baoyi Zhang, Chenyang Li, Jia Wu, Jianjun Zhang, Chao Cheng

Faculty, Staff and Student Publications

Lung cancer is the first leading cause of cancer-related death in the United States, with lung adenocarcinoma as the major subtype accounting for 40% of all cases. To improve patient survival, image-based prognostic models were developed due to the ready availability of pathological images at diagnosis. However, the application of these models is hampered by two main challenges: the lack of publicly available image datasets with high-quality survival information and the poor interpretability of conventional convolutional neural network models. Here, we integrated matched transcriptomic and H&E staining data from TCGA (The Cancer Genome Atlas) to develop an image-based prognostic model, …

An Essential Gene Signature Of Breast Cancer Metastasis Reveals Targetable Pathways, Yiqun Zhang, Fengju Chen, Marija Balic, Chad J Creighton

Faculty, Staff and Students Publications

BACKGROUND: The differential gene expression profile of metastatic versus primary breast tumors represents an avenue for discovering new or underappreciated pathways underscoring processes of metastasis. However, as tumor biopsy samples are a mixture of cancer and non-cancer cells, most differentially expressed genes in metastases would represent confounders involving sample biopsy site rather than cancer cell biology.

METHODS: By paired analysis, we defined a top set of differentially expressed genes in breast cancer metastasis versus primary tumors using an RNA-sequencing dataset of 152 patients from The Breast International Group Aiming to Understand the Molecular Aberrations dataset (BIG-AURORA). To filter the genes …

Development Of A Novel Comprehensive Hepatocellular Carcinoma Outcome Prognostic Scoring System With Integration Of Imaging Features, Hop S Tran Cao, Russell G Witt, Khaled M Elsayes, Ali A Baiomy, Lianchun Xiao, Sarah Palmquist, Sunyoung S Lee, Yehia I Mohamed, Armeen Mahvash, Ching-Wei D Tzeng, Yun Shin Chun, Eugene Jon Koay, Asif Rashid, Manal M Hassan, James C Yao, Jean-Nicolas Vauthey, Ahmed O Kaseb

Faculty, Staff and Student Publications

Background: Accurate prognostic stratification of hepatocellular carcinoma (HCC) is vital for clinical trial enrollment and treatment allocation. Multiple scoring systems have been created to predict patient survival, but no standardized scoring systems account for radiologic tumor features. We sought to create a generalizable scoring system for HCC which incorporates standardized radiologic tumor features and more accurately predicts overall survival (OS) than established systems.

Methods: Clinicopathologic parameters were collected from a prospectively collected cohort of patients with HCC treated at a single institution. Imaging studies were evaluated for tumor characteristics. Patients were randomly divided into a training set for identification of …

Cell-Free Dna Concentration As A Biomarker Of Response And Recurrence In Her2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy, Mark Jesus M Magbanua, Ziad Ahmed, Rosalyn W Sayaman, Lamorna Brown Swigart, Gillian L Hirst, Christina Yau, Denise M Wolf, Wen Li, Amy L Delson, Jane Perlmutter, Paula Pohlmann, W Fraser Symmans, Douglas Yee, Nola M Hylton, Laura J Esserman, Angela M Demichele, Hope S Rugo, Laura J Van 'T Veer

Faculty, Staff and Student Publications

Purpose: We previously demonstrated the clinical significance of circulating tumor DNA (ctDNA) in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy (NAC). Here, we compared its predictive and prognostic value with cell-free DNA (cfDNA) concentration measured in the same samples from the same patients.

Experimental design: 145 patients with hormone receptor (HR)-positive/HER2-negative and 138 triple-negative breast cancer (TNBC) with ctDNA data from a previous study were included in the analysis. Associations of serial cfDNA concentration with residual cancer burden (RCB) and distant recurrence-free survival (DRFS) were examined.

Results: In TNBC, we observed a modest negative correlation between cfDNA concentration 3 …

Characteristics And Outcomes Of Acute Myeloid Leukaemia Patients With Baseline Cd7 Expression, Wei-Ying Jen, Koji Sasaki, Sanam Loghavi, Sa A Wang, Wei Qiao, Gautam Borthakur, Farhad Ravandi, Tapan M Kadia, Ghayas C Issa, Nicholas J Short, Musa Yilmaz, Naval G Daver, Courtney D Dinardo

Faculty, Staff and Student Publications

Targeted therapy development for acute myeloid leukaemia (AML) requires an understanding of specific expression profiles. We collected flow cytometry data on 901 AML patients and recorded aberrant CD7 expression on leukaemic blasts. 263 (29.2%) had blasts positive for CD7. CD7+ AML was more likely to be adverse risk (64.6% vs. 55.6%, p = 0.0074) and less likely to be favourable risk (15.2% vs. 24.1%, p = 0.0074) by European LeukemiaNet 2022 criteria. Overall survival was inferior (11.9 [95% CI, 9.7-15.9] vs. 19.0 months [95% CI, 16.1-23.0], p = 0.0174). At relapse, 30.4% lost and 19.0% gained CD7, suggesting moderate instability …

Immune Infiltration At The Primary Tumor Is Associated With Clinical Outcome Of Patients With Extranodal Extension Of Lymph Node Metastasis In Oral Cancer, Chieko Michikawa, Frederico O Gleber-Netto, Curtis R Pickering, Xiayu Rao, Jing Wang, Andrew G Sikora, Jeffrey N Myers, Mitchell J Frederick

Faculty, Staff and Student Publications

Background: Extranodal extension (ENE) of lymph node metastasis is one of the most reliable prognostic indicators for patients with locally advanced oral cancer. Although multiple reports have found a close relationship between immune infiltration of tumors and patient clinical outcomes, its association with ENE is unknown.

Methods: We identified 234 human papillomavirus-negative (HPV-) oral cavity squamous cell carcinoma (OSCC) patients in The Cancer Genome Atlas and investigated the immune infiltration profiles of primary tumors and their association with survival.

Results: Hierarchical clustering analysis clearly classified the overall immune infiltration status in OSCC into high immune or low immune groups. The …

Prostein Expression On Circulating Tumor Cells As A Prognostic Marker In Metastatic Castration-Resistant Prostate Cancer, Zhenchao Zhang, Rui Luo, William K Kelly, Joshua Chen, Shane Donahue, Kevan Ip, Nathan R Handley, William J Tester, Miranda L Tsang, Felix J Kim, Ronald Myers, Grace Lu-Yao, Jian Gu, Jianqing Lin, Bingshan Li, Chun Wang, Hushan Yang

Faculty, Staff and Student Publications

Background: Identification of emerging molecular biomarkers on circulating tumor cells (CTCs) represents an attractive feature of liquid biopsy that facilitates precision and tailored medicine in the management of metastatic castration-resistant prostate cancer (mCRPC). Prostein is an androgen-regulated transmembrane protein with high prostate specificity. Prostein-positive circulating tumor cell (CTC) was recently suggested to have diagnostic potential; however, no study has been conducted to evaluate its prognostic value in mCRPC.

Methods: CTCs from mCRPC patients were enumerated using the CellSearch System. Prostein-positive CTCs were identified by immunostaining results. The relationships between prostein expression on CTCs and PSA response rate, PSA progression-free survival …

Diagnostic And Prognostic Biomarkers Of Chronic Pancreatitis: A Conceptual Framework Based On The Probe Design, Dhiraj Yadav, Darwin L Conwell, Stephen J Pandol, Hanno Steen, Ziding Feng, Liang Li

Faculty, Staff and Student Publications

No abstract provided.

Risk-Benefit Trade-Offs And Precision Utilities In Phase I-Ii Clinical Trials, Pavlos Msaouel, Juhee Lee, Peter F Thall

Faculty, Staff and Student Publications

Background: Identifying optimal doses in early-phase clinical trials is critically important. Therapies administered at doses that are either unsafe or biologically ineffective are unlikely to be successful in subsequent clinical trials or to obtain regulatory approval. Identifying appropriate doses for new agents is a complex process that involves balancing the risks and benefits of outcomes such as biological efficacy, toxicity, and patient quality of life.

Purpose: While conventional phase I trials rely solely on toxicity to determine doses, phase I-II trials explicitly account for both efficacy and toxicity, which enables them to identify doses that provide the most favorable risk-benefit …

High Community-Level Social Vulnerability Is Associated With Worse Recurrence-Free Survival (Rfs) After Resection Of Extremity And Truncal Soft Tissue Sarcoma, Raymond S Traweek, Heather G Lyu, Russell G Witt, Rebecca A Snyder, Elise F Nassif, David D Krijgh, Jeffrey M Smith, Gordon S Tilney, Chun Feng, Yi-Ju Chiang, Keila E Torres, Margaret J Roubaud, Christopher P Scally, Kelly K Hunt, Emily Z Keung, Alexander F Mericli, Christina L Roland

Faculty, Staff and Student Publications

Background: Although social vulnerability has been associated with worse postoperative and oncologic outcomes in other cancer types, these effects have not been characterized in patients with soft tissue sarcoma. This study evaluated the association of social vulnerability and oncologic outcomes.

Methods: The authors conducted a single-institution cohort study of adult patients with primary and locally recurrent extremity or truncal soft tissue sarcoma undergoing resection between January 2016 and December 2021. The social vulnerability index (SVI) was measured on a low (SVI 1-39%, least vulnerable) to high (60-100%, most vulnerable) SVI scale. The association of SVI with overall survival (OS) and …

Stellae-123 Gene Expression Signature Improved Risk Stratification In Taiwanese Acute Myeloid Leukemia Patients, Yu-Hung Wang, Adrián Mosquera Orgueira, Chien-Chin Lin, Chi-Yuan Yao, Min-Yen Lo, Cheng-Hong Tsai, Adolfo De La Fuente Burguera, Hsin-An Hou, Wen-Chien Chou, Hwei-Fang Tien

Faculty, Staff and Student Publications

The European Leukemia Net recommendations provide valuable guidance in treatment decisions of patients with acute myeloid leukemia (AML). However, the genetic complexity and heterogeneity of AML are not fully covered, notwithstanding that gene expression analysis is crucial in the risk stratification of AML. The Stellae-123 score, an AI-based model that captures gene expression patterns, has demonstrated robust survival predictions in AML patients across four western-population cohorts. This study aims to evaluate the applicability of Stellae-123 in a Taiwanese cohort. The Stellae-123 model was applied to 304 de novo AML patients diagnosed and treated at the National Taiwan University Hospital. We …

Evaluating The Heterogeneity Of Hippocampal Avoidant Whole Brain Radiotherapy Treatment Effect: A Secondary Analysis Of Nrg Cc001, Hua-Ren R Cherng, Kai Sun, Søren Bentzen, Terri S Armstrong, Vinai Gondi, Paul D Brown, Minesh Mehta, Mark V Mishra

Faculty, Staff and Student Publications

Background: Hippocampal avoidant whole brain radiotherapy (HA-WBRT) is the standard of care for patients needing WBRT for brain metastases. This study, using existing data from NRG Oncology CC001 including baseline tumor characteristics and patient-reported MD Anderson Symptom Inventory-Brain Tumor (MDASI-BT) scores, sought to identify subgroups of patients that demonstrate differential neuroprotective treatment response to HA-WBRT.

Methods: An exploratory analysis of NRG CC001, a phase 3 trial in which 518 patients were randomly assigned to WBRT plus memantine or HA-WBRT plus memantine, was performed. Rates of neurocognitive function failure (NCFF) were estimated between subgroups and stratified by arm. Covariate and subgroup …

The Prognostic Value Of Mek Pathway-Associated Estrogen Receptor Signaling Activity For Female Cancers, Chun Wai Ng, Yvonne T M Tsang, David M Gershenson, Kwong-Kwok Wong

Faculty, Staff and Student Publications

Background: Other than for breast cancer, endocrine therapy has not been highly effective for gynecologic cancers. Endocrine therapy resistance in estrogen receptor positive gynecologic cancers is still poorly understood. In this retrospective study, we examined the estrogen receptor (ER) signaling pathway activities of breast, ovarian, endometrial, and cervical cancers to identify those that may predict endocrine therapy responsiveness.

Methods: Clinical and genomic data of women with breast and gynecological cancers were downloaded from cBioPortal for Cancer Genomics. Estrogen receptor alpha (ESR1) expression level and sample-level pathway enrichment scores (EERES) were calculated to classify patients into four groups (low/high ESR1 and …